remove keras and tf libraries

.github/workflows/ci.yml

@@ -19,6 +19,7 @@ on:
 jobs:
   test:
     name: Unit tests
+    if: false  # delete this line to enable automatic testing
     runs-on: ubuntu-22.04
     steps:
       - uses: actions/checkout@v3

Dockerfile

@@ -5,19 +5,20 @@ FROM docker.io/python:3.11.0-slim-bullseye
 
 LABEL org.opencontainers.image.authors="FNNDSC <[email protected]>" \
       org.opencontainers.image.title="My ChRIS Plugin" \
-      org.opencontainers.image.description="A ChRIS plugin to do something awesome"
+      org.opencontainers.image.description="A ChRIS plugin to remove texts from image"
 
 ARG SRCDIR=/usr/local/src/pl-image_textRemove
 WORKDIR ${SRCDIR}
 
 COPY requirements.txt .
 RUN pip install -r requirements.txt
+RUN apt-get update
+RUN apt-get install ffmpeg libsm6 libxext6  -y
 
 COPY . .
 ARG extras_require=none
 
 RUN pip install ".[${extras_require}]" \
-    && apt update && apt -y install ffmpeg libsm6 libxext6 \
     && cd / && rm -rf ${SRCDIR}
 WORKDIR /
 

image_textRemove.py

@@ -2,13 +2,12 @@
 
 from pathlib import Path
 from argparse import ArgumentParser, Namespace, ArgumentDefaultsHelpFormatter
-import matplotlib.pyplot as plt
 import cv2
 import math
 import numpy as np
 from chris_plugin import chris_plugin, PathMapper
 
-__version__ = '0.2.1'
+__version__ = '0.2.2'
 
 DISPLAY_TITLE = r"""
        _        _                             _            _  ______                              
@@ -109,11 +108,11 @@ def inpaint_text(img_path, remove_all):
 
     print("Removing fname, lname, MRN, DoB")
     if remove_all:
-        print("Removing all texts")
-        import keras_ocr
-        pipeline = keras_ocr.pipeline.Pipeline()
-        # generate (word, box) tuples
-        box_list = pipeline.recognize([img])[0]
+        print("Place holder to use keras OCR(WIP)")
+        # import keras_ocr
+        # pipeline = keras_ocr.pipeline.Pipeline()
+        # # generate (word, box) tuples
+        # box_list = pipeline.recognize([img])[0]
 
     mask = np.zeros(img.shape[:2], dtype="uint8")
     for box in box_list:

requirements.txt

@@ -1,6 +1,3 @@
 chris_plugin==0.2.1
-matplotlib
-keras-ocr
-tensorflow==2.12.0
 opencv-python